axle.ml

KMeans

object KMeans extends AnyRef

KMeans

Linear Supertypes
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Type Members

  1. class ConfusionMatrix [T, L] extends AnyRef

  2. case class KMeansClassifier [T] (data: Seq[T], N: Int, featureExtractor: (T) ⇒ Seq[Double], constructor: (Seq[Double]) ⇒ T, distance: DistanceFunction, K: Int, iterations: Int) extends Product with Serializable

    KMeansClassifier[T]

  3. type M [T] = JblasMatrix[T]

Value Members

  1. def != (arg0: AnyRef): Boolean

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  2. def != (arg0: Any): Boolean

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  3. def ## (): Int

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  4. def == (arg0: AnyRef): Boolean

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  5. def == (arg0: Any): Boolean

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  6. def apply [T] (data: Seq[T], N: Int, featureExtractor: (T) ⇒ Seq[Double], constructor: (Seq[Double]) ⇒ T, distance: DistanceFunction, K: Int, iterations: Int): KMeansClassifier[T]

    cluster[T]

    cluster[T]

    T

    type of the objects being classified

    data
    N
    featureExtractor
    constructor

  7. def asInstanceOf [T0] : T0

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  8. def assignmentsAndDistances (distance: DistanceFunction, X: M[Double], μ: M[Double]): (M[Int], M[Double])

    assignmentsAndDistances

    assignmentsAndDistances

    X
    μ

    Returns: N x 1 matrix: indexes of centroids closest to xi N x 1 matrix: distances to those centroids

  9. def centroidIndexAndDistanceClosestTo (distance: DistanceFunction, μ: M[Double], x: M[Double]): (Int, Double)

    centroidIndexAndDistanceClosestTo

    centroidIndexAndDistanceClosestTo

    μ
    x

  10. def centroids (X: M[Double], K: Int, assignments: M[Int]): (M[Double], Seq[Int])

    centroids

    centroids

    X

    M x N scaled feature matrix

    K

    number of centroids

  11. def clone (): AnyRef

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  12. def clusterLA (X: M[Double], distance: DistanceFunction, K: Int, iterations: Int): Seq[(M[Double], M[Int], M[Double])]

    clusterLA

    clusterLA

    X

    (normalized feature matrix)

    distance
    K
    iterations

  13. def eq (arg0: AnyRef): Boolean

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  14. def equals (arg0: Any): Boolean

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  15. def finalize (): Unit

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  16. def getClass (): java.lang.Class[_]

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  17. def hashCode (): Int

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  18. def isInstanceOf [T0] : Boolean

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  19. def ne (arg0: AnyRef): Boolean

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  20. def notify (): Unit

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  21. def notifyAll (): Unit

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  22. def synchronized [T0] (arg0: ⇒ T0): T0

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  23. def toString (): String

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  24. def wait (): Unit

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  25. def wait (arg0: Long, arg1: Int): Unit

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  26. def wait (arg0: Long): Unit

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